Multidisciplinary prediction of running-related injuries using machine learning - Top-Institutions - MDSpire

Multidisciplinary prediction of running-related injuries using machine learning

  • By

  • Han Wu

  • Katherine Brooke-Wavell

  • Michael R. Barnes

  • Zainab Awan

  • Sarabjit Mastana

  • Sam Allen

  • Richard C. Blagrove

  • February 6, 2026

  • 0 min

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Top Institutions in Orthopedic Medicine

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Sports Medicine
    • Biomedical Informatics
    • Machine Learning

  • #2

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Sports Medicine
    • Biomedical Data Science
    • Genetics

  • #3

    University of Pittsburgh
    University of Pittsburgh

    Pittsburgh, PA

    Key Differentiators

    • Sports Medicine
    • Biomechanics
    • Data Analytics

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Sports Medicine
    • Artificial Intelligence
    • Genomics

  • #5

    University of Queensland
    University of Queensland

    Brisbane, QLD

    Key Differentiators

    • Sports Science
    • Injury Epidemiology
    • Machine Learning

Original Source(s)

Multidisciplinary prediction of running-related injuries using machine learning

  • by Han Wu, Katherine Brooke-Wavell, Michael R. Barnes, Zainab Awan, Sarabjit Mastana, Sam Allen, Richard C. Blagrove

  • February 6, 2026

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